Identification of foliar diseases in cotton crop

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

A. A. Bernardes (Author) Other; J. G. Rogeri (Author) Other; N. Marranghello (Author) Other; A. S. Pereira (Author) Other; João Manuel R. S. Tavares (Author) FEUP; A. F. Araújo (Author) FEUP

Conference proceedings International

Title: Computational Vision and Medical Image Processing: VipIMAGE 2011

Pages: 193-197

III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing: VipIMAGE 2011

Olhão, Portugal, 14-14 October 2011

Scientific classification

FOS: Engineering and technology > Mechanical engineering

CORDIS: Technological sciences > Technology > Computer technology > Image processing

Other information

Abstract (EN): The pathogens manifestation in plantations are the largest cause of damage in several cultivars, which may cause increase of prices and loss of crop quality. This paper presents a method for automatic classification of cotton diseases through feature extraction of leaf symptoms from digital images. Wavelet transform energy has been used for feature extraction while Support Vector Machine has been used for classification. Five situations have been diagnosed, namely: Healthy crop, Ramularia disease, Bacterial Blight, Ascochyta Blight, and unspecified disease.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5